Foveated HDR: Efficient HDR Content Generation on Edge Devices Leveraging User's Visual Attention
In recent years, high dynamic range (HDR) content has become increasingly popular for its ability to represent a broader brightness range, enhancing the realism and immersion in applications like augmented reality/virtual reality (AR/VR) on edge devices. While DNN-based solutions are effective for reconstructing high-fidelity HDR content, due to their high computational demands and memory usage, the DNN-based HDR reconstruction takes up to several seconds to generate one HDR image, making it very challenging to deploy such techniques onto the edge devices.
Authors
- Mahmut Kandemir (ORCID: https://orcid.org/0000-0002-9940-9951)
- Sandeepa Bhuyan (ORCID: https://orcid.org/0000-0002-0679-9058)
- Yingtian Zhang (ORCID: https://orcid.org/0009-0007-7220-8571)
- Chita R. Das (ORCID: https://orcid.org/0000-0002-4746-7578)
- Ziyu Ying (ORCID: https://orcid.org/0000-0002-0854-9933)
- Yan Kang (ORCID: https://orcid.org/0009-0002-8718-1491)
Institutions
- Pennsylvania State University (US)
Publication Details
- Published
- 2024-10-27
- DOI
- https://doi.org/10.1145/3676536.3676729
- Primary Topic
- Image Enhancement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation